Big Data in Finance
Edited by Thomas Walker (),
Frederick Davis () and
Tyler Schwartz ()
in Springer Books from Springer
Date: 2022
ISBN: 978-3-031-12240-8
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Chapters in this book:
- Big Data in Finance: An Overview
- Thomas Walker, Frederick Davis and Tyler Schwartz
- Alternative Data
- Vincent Grégoire and Noah Jepson
- An Algorithmic Trading Strategy to Balance Profitability and Risk
- Guillermo Peña
- High-Frequency Trading and Market Efficiency in the Moroccan Stock Market
- El Mehdi Ferrouhi and Ibrahim Bouabdallaoui
- Ensemble Models Using Symbolic Regression and Genetic Programming for Uncertainty Estimation in ESG and Alternative Investments
- Percy Venegas, Isabel Britez and Fernand Gobet
- Consumer Credit Assessments in the Age of Big Data
- Lynnette Purda and Cecilia Ying
- Robo-Advisors: A Big Data Challenge
- Federico Severino and Sébastien Thierry
- Bitcoin: Future or Fad?
- Daniel Tut
- Culture, Digital Assets, and the Economy: A Trans-National Perspective
- John Zhang, Zehuang Xu, Yi Peng, Wujin Yang and Haorou Zhao
- Islamic Finance in Canada Powered by Big Data: A Case Study
- Imran Abdool and Mustafa Abdool
- Assessing the Carbon Footprint of Cryptoassets: Evidence from a Bivariate VAR Model
- Hany Fahmy
- A Data-Informed Approach to Financial Literacy Enhancement Using Cognitive and Behavioral Analytics
- Prasanta Bhattacharya, Kum Seong Wan, Boon Kiat Quek, Waseem Bak’r Hameed and Sivanithy Rathananthan
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Persistent link: https://EconPapers.repec.org/RePEc:spr:sprbok:978-3-031-12240-8
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DOI: 10.1007/978-3-031-12240-8
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